{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    " # python 作业\n",
    "\n",
    "\n",
    " ## 作业要求\n",
    " \n",
    " \n",
    " 绘制 sin 函数波形 \n",
    " 使用了库 numpy \n",
    " 和 pylab\n",
    " \n",
    " \n",
    "## 代码\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import numpy as np\n",
    "import scipy as ap\n",
    "import pylab as pl\n",
    "\n",
    "x = np.linspace(0,4*np.pi, 100)\n",
    "pl.plot( x,np.sin(x))\n",
    "pl.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import numpy as np\n",
    "import scipy as ap\n",
    "import pylab as pl\n",
    "\n",
    "x = np.linspace(0,4*np.pi, 100)\n",
    "pl.plot( x,np.cos(x))\n",
    "pl.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.0"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
